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I use pd.read_csv to grab a series of timestamp'd links interactively from a remote website.
Feature Description
I would like it to convert the columns specified by parse_dates to the timezone specified by wherever the /etc/localtime link points to by default in a non-deprecated manner:
[frame.loc[:,c].dt.tz_convert('/'.join([os.getenv('TZ', os.path.realpath('/etc/localtime').split('/')[-2:])][0])) for c in frame.select_dtypes('datetime64[ns, UTC]')]`
I'd like to propose this functionality as the tz parameter to read_csv. I suspect the implementation is not python, and can't find it in my git checkout of pandas.
Alternative Solutions
Covered above
Additional Context
The text was updated successfully, but these errors were encountered:
I don't think we'll implement this. read_csv has too way many parameters already, and this can be done after the CSV is read, if I'm not missing anything. But let's see what others think.
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Feature Type
Adding new functionality to pandas
Changing existing functionality in pandas
Removing existing functionality in pandas
Problem Description
I use pd.read_csv to grab a series of timestamp'd links interactively from a remote website.
Feature Description
I would like it to convert the columns specified by parse_dates to the timezone specified by wherever the /etc/localtime link points to by default in a non-deprecated manner:
I'd like to propose this functionality as the tz parameter to read_csv. I suspect the implementation is not python, and can't find it in my git checkout of pandas.
Alternative Solutions
Covered above
Additional Context
The text was updated successfully, but these errors were encountered: